Al-Driven Forecasting and Scenario Analysis in Oracle EPM Cloud

Abstract

This research paper explores the integration of Artificial Intelligence (AI) and Machine Learning (ML) models into Oracle Planning and Budgeting Cloud (PBCS) system to enhance forecasting accuracy and optimize scenario planning. The study investigates how predictive analytics and real-time data processing can be leveraged to automate and improve financial planning processes. Through a comprehensive analysis of current methodologies and emerging AI technologies, this paper aims to bridge the research gap in understanding AI's impact on forecasting reliability, particularly in fluctuating market conditions. The findings suggest that AI-driven forecasting models can significantly improve prediction accuracy and enable more dynamic and responsive scenario planning in planning and budgeting systems.